Wendy S. Woods
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 14
- Neurological disorders and treatments 5
- Physiology top 2%
- Alzheimer's disease research and treatments 7
- Neurology top 5%
- Parkinson's Disease Mechanisms and Treatments 14
- Neurological disorders and treatments 5
- Cell Biology top 5%
- Cellular transport and secretion 4
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- CRISPR and Genetic Engineering 9
- RNA Interference and Gene Delivery 6
- RNA and protein synthesis mechanisms 5
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- Advanced NMR Techniques and Applications 3
- Co-authors
- Julia M. GeorgeDavid F. ClaytonRichard J. PerrinPablo Pérez‐PiñeraChad M. RienstraMichael GapinskeJackson WinterKathryn D. Kloepper
- Journals
- Nucleic Acids Research (2 papers)Journal of Biological Chemistry (4 papers)Nature Communications (1 paper)
- Partner nations
- United StatesUnited KingdomRussia
In The Last Decade
Wendy S. Woods
32 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Neurology 1.6k
- Cellular and Molecular Neuroscience 700
- Physiology 985
- Neurology 232
- Cell Biology 325
Countries citing papers authored by Wendy S. Woods
This map shows the geographic impact of Wendy S. Woods's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wendy S. Woods with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wendy S. Woods more than expected).
Fields of papers citing papers by Wendy S. Woods
This network shows the impact of papers produced by Wendy S. Woods. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wendy S. Woods. The network helps show where Wendy S. Woods may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wendy S. Woods, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 5 | |
| 4 | 2020 | 16 | |
| 5 | 2020 | 162 | |
| 6 | 2019 | 35 | |
| 7 | 2018 | 96 | |
| 8 | 2018 | 142 | |
| 9 | 2014 | 76 | |
| 10 | 2013 | 49 | |
| 11 | 2012 | 60 | |
| 12 | 2007 | 68 | |
| 13 | 2007 | 6 | |
| 14 | 2006 | 6 | |
| 15 | 2006 | 44 | |
| 16 | 2004 | 82 | |
| 17 | 2003 | 61 | |
| 18 | 2001 | 231 | |
| 19 | 2000 | 354 | |
| 20 | Characterization of a novel protein regulated during the critical period for song learning in the zebra finchbreakdown → | 1995 | 695 |
About Wendy S. Woods
Wendy S. Woods is a scholar working on Neurology, Aging and Business and International Management, having authored 32 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (14 papers), CRISPR and Genetic Engineering (9 papers), Alzheimer's disease research and treatments (7 papers), RNA Interference and Gene Delivery (6 papers), Neurological disorders and treatments (5 papers), RNA and protein synthesis mechanisms (5 papers), Cellular transport and secretion (4 papers) and Advanced NMR Techniques and Applications (3 papers). The work is most often cited by research in Neurology (1.6k citations), Cellular and Molecular Neuroscience (700 citations) and Physiology (985 citations). Wendy S. Woods has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Julia M. George, David F. Clayton, Richard J. Perrin, Pablo Pérez‐Piñera, Chad M. Rienstra, Michael Gapinske, Jackson Winter, Kathryn D. Kloepper, Jun S. Song and Gemma Comellas. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.